AWS Machine Learning Blog

DECEMBER 18, 2023

MongoDB’s robust time series data management allows for the storage and retrieval of large volumes of time-series data in real-time, while advanced machine learning algorithms and predictive capabilities provide accurate and dynamic forecasting models with SageMaker Canvas. Babu Srinivasan is a Senior Partner Solutions Architect at MongoDB.

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AWS Machine Learning Blog

JULY 15, 2024

In our pipeline, we used Amazon Bedrock to develop a sentence shortening algorithm for automatic time scaling. Here’s the shortened sentence using the sentence shortening algorithm. She specializes in leveraging AI and ML to drive innovation and develop solutions on AWS. Partner Solutions Architect at AWS, specializing in AI/ML.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). ML is often associated with PBAs, so we start this post with an illustrative figure. The ML paradigm is learning followed by inference. The union of advances in hardware and ML has led us to the current day.

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Towards AI

JULY 19, 2023

The Continuing Story of Neural Magic Around New Year’s time, I pondered about the upcoming sparsity adoption and its consequences on inference w/r/t ML models. But first… a word from our sponsors: [link] If you enjoy the read, help us out by giving it a ?? and share with friends! The company is Neural Magic. Follow their code on GitHub.

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AWS Machine Learning Blog

OCTOBER 23, 2024

At its core, Amazon Bedrock provides the foundational infrastructure for robust performance, security, and scalability for deploying machine learning (ML) models. The serverless infrastructure of Amazon Bedrock manages the execution of ML models, resulting in a scalable and reliable application.

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Smart Data Collective

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? It is a promising position for those skilled in mechanics, electronics, data analytics and ML. recognize objects; give meaningful answers to questions; reach decisions that traditional computer algorithms cannot make. This should come as no surprise.

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O'Reilly Media

APRIL 23, 2024

Why is it that Amazon, which has positioned itself as “the most customer-centric company on the planet,” now lards its search results with advertisements, placing them ahead of the customer-centric results chosen by the company’s organic search algorithms, which prioritize a combination of low price, high customer ratings, and other similar factors?

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Iguazio

AUGUST 3, 2023

The contributors recommend using algorithms like Apriori Algorithm to analyze the Market Basket Analysis. While this data is not fresh, it is from 2010-2012, we added it to the list because of the holiday sales data that can be used and could still be relevant. To learn more about ML and retailers, click here.

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Flipboard

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. Since joining SnapLogic in 2010, Greg has helped design and implement several key platform features including cluster processing, big data processing, the cloud architecture, and machine learning.

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AWS Machine Learning Blog

DECEMBER 6, 2023

Overview of RAG RAG solutions are inspired by representation learning and semantic search ideas that have been gradually adopted in ranking problems (for example, recommendation and search) and natural language processing (NLP) tasks since 2010. The search precision can also be improved with metadata filtering.

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Towards AI

JULY 21, 2023

The Continuing Story of Neural Magic Around New Year’s time, I pondered about the upcoming sparsity adoption and its consequences on inference w/r/t ML models. But first… a word from our sponsors: If you enjoy the read, help us out by giving it a ?? and share with friends! The company is Neural Magic. Follow their code on GitHub.

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Mlearning.ai

JULY 20, 2023

In the intricate world of machine learning algorithms, probability serves as the foundational pillar. To truly decipher the mechanisms and theories of these algorithms, it’s essential to have a firm understanding of probability fundamentals. Generates a bar chart depicting the count of rainy days in June from 2010 to 2022. .

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Mlearning.ai

JANUARY 31, 2023

Control algorithm. It provides an out-of-the-box implementation of Madgwick’s filter , an algorithm that fuses angular velocities (from the gyroscope) and linear accelerations (from the accelerometer) to compute an orientation wrt the Earth’s magnetic field. Depending on the context, this assumption may be too optimistic.

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O'Reilly Media

JULY 20, 2021

After the release of the iPad in 2010 Craig Hockenberry discussed the great value of communal computing but also the concerns : “When you pass it around, you’re giving everyone who touches it the opportunity to mess with your private life, whether intentionally or not. This expectation isn’t a new one either.

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ML Review

JUNE 4, 2018

Finally, one can use a sentence similarity evaluation metric to evaluate the algorithm. One such evaluation metric is the Bilingual Evaluation Understudy algorithm, or BLEU score. The idea of sampling an attention trajectory as an estimation was taken from a Reinforcement Learning algorithm called REINFORCE[88]. Paragios N.

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DrivenData Labs

SEPTEMBER 10, 2024

Advance algorithms and analytic approaches for early prediction of AD/ADRD, with an emphasis on explainability of predictions. Top solvers from Phase 2 demonstrate algorithmic approaches on diverse datasets and share their results at an innovation event. Paola Ruíz Puente is a Biomedical Engineer amd the AI/ML manager at IGC Pharma.

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Hacker News

FEBRUARY 9, 2025

E11 Bio, a Bay area-based non-profit staffed by neuroanatomists and bioengineers, is creating a platform not only to better visualize the neural connections but also to improve the algorithms available to map these circuits. Modern researchers rely on algorithms for help.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

About the Authors Mithil Shah is a Principal AI/ML Solution Architect at Amazon Web Services. He helps commercial and public sector customers use AI/ML to achieve their business outcome. Santosh Kulkarni is an Senior Solutions Architect at Amazon Web Services specializing in AI/ML.

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AWS Machine Learning Blog

NOVEMBER 18, 2024

Understanding the DE-SynPUF dataset The DE-SynPUF dataset is a synthetic database released by the Centers for Medicare and Medicaid Services (CMS), designed to simulate Medicare claims data from 2008–2010. Due to file size limitations, each data type in the CMS Linkable 2008–2010 Medicare DE-SynPUF database is released in 20 separate samples.

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